All packages

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placer — 0.1.3

PLastic ACcumulation Estimate using R (PLACER)

PlackettLuce — 0.4.3

Plackett-Luce Models for Rankings

plainview — 0.2.1

Plot Raster Images Interactively on a Plain HTML Canvas

plan — 0.4-5

Tools for Project Planning

PlaneGeometry — 1.6.0

Plane Geometry

Planesmuestra — 0.1

Functions for Calculating Dodge Romig, MIL STD 105E and MIL STD 414 Acceptance Sampling Plan

PlanetNICFI — 1.0.5

Processing of the 'Planet NICFI' Satellite Imagery

planets — 0.1.0

Simple and Accessible Data from all Known Planets

planningML — 1.0.1

A Sample Size Calculator for Machine Learning Applications in Healthcare

planr — 0.4.2

Tools for Supply Chain Management, Demand and Supply Planning

planscorer — 0.0.2

Score Redistricting Plans with 'PlanScore'

plantecophys — 1.4-6

Modelling and Analysis of Leaf Gas Exchange Data

plantecowrap — 1.0.4

Enhancing Capabilities of 'plantecophys'

plantphysioR — 1.0.0

Fundamental Formulas for Plant Physiology

plantTracker — 1.1.0

Extract Demographic and Competition Data from Fine-Scale Maps

plaqr — 2.0

Partially Linear Additive Quantile Regression

plasma — 1.1.3

Partial LeAst Squares for Multiomic Analysis

PlasmaMutationDetector — 1.7.2

Tumor Mutation Detection in Plasma

PlasmaMutationDetector2 — 1.1.11

Tumor Mutation Detection in Plasma using Barcoding

Plasmidprofiler — 0.1.6

Visualization of Plasmid Profile Results

plasso — 0.1.2

Cross-Validated (Post-) Lasso

plater — 1.0.4

Read, Tidy, and Display Data from Microtiter Plates

platetools — 0.1.7

Tools and Plots for Multi-Well Plates

PlatformDesign — 2.1.4

Optimal Two-Period Multiarm Platform Design with New Experimental Arms Added During the Trial

platowork — 0.0.1

Data from a Test of the PlatoWork tDCS Headset

plattice — 1.0

Lattice Plot for Panel Data

play — 0.1.3

Visualize Sports Data

PlayerChart — 1.0.0

Generate Pizza Chart: Player Stats 0-100

PlayerRatings — 1.1-0

Dynamic Updating Methods for Player Ratings Estimation

pldamixture — 0.1.1

Post-Linkage Data Analysis Based on Mixture Modelling

plde — 0.1.2

Penalized Log-Density Estimation Using Legendre Polynomials

pleio — 1.9

Pleiotropy Test for Multiple Traits on a Genetic Marker

pleiotest — 1.0.0

Fast Sequential Pleiotropy Test

pleLMA — 0.2.1

Pseudo-Likelihood Estimation of Log-Multiplicative Association Models

PLEXI — 1.0.0

Multiplex Network Analysis

PLFD — 0.2.0

Portmanteau Local Feature Discrimination for Matrix-Variate Data

plfm — 2.2.6

Probabilistic Latent Feature Analysis

plfMA — 2.0

A GUI to View, Design and Export Various Graphs of Data

plgp — 1.1-12

Particle Learning of Gaussian Processes

plgraphics — 1.2

User Oriented Plotting Functions

pliman — 2.1.0

Tools for Plant Image Analysis

PLindleyROC — 0.1.1

Receiver Operating Characteristic Based on Power Lindley Distribution

plink — 1.5-1

IRT Separate Calibration Linking Methods

plinkFile — 0.2.1

'PLINK' (and 'GCTA') File Helpers

plinkQC — 0.3.4

Genotype Quality Control with 'PLINK'

PLIS — 1.2

Multiplicity Control using Pooled LIS Statistic

plm — 2.6-4

Linear Models for Panel Data

PLMIX — 2.1.1

Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings

PLmixed — 0.1.7

Estimate (Generalized) Linear Mixed Models with Factor Structures

pln — 0.2-2

Polytomous Logit-Normit (Graded Logistic) Model Estimation

PLNmodels — 1.2.0

Poisson Lognormal Models

plnr — 2022.11.23

A System for Planing Analyses

plogr — 0.2.0

The 'plog' C++ Logging Library

PLordprob — 1.1

Multivariate Ordered Probit Model via Pairwise Likelihood

PLORN — 0.1.1

Prediction with Less Overfitting and Robust to Noise

plot.matrix — 1.6.2

Visualizes a Matrix as Heatmap

plot3D — 1.4.1

Plotting Multi-Dimensional Data

plot3Drgl — 1.0.4

Plotting Multi-Dimensional Data - Using 'rgl'

plot4fun — 0.1.1

Just Plot for Fun

plotBart — 0.1.7

Diagnostic and Plotting Functions to Supplement 'bartCause'

plotbb — 0.0.6

Grammar of Graphics for 'base' Plot

PlotBivInvGaus — 0.1.0

Density Contour Plot for Bivariate Inverse Gaussian Distribution

plotcli — 0.1.0

Command Line Interface Plotting

PlotContour — 0.1.0

Plot Contour Line

plotdap — 1.0.3

Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap' Package

plotDK — 0.1.0

Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas

plotfunctions — 1.4

Various Functions to Facilitate Visualization of Data and Analysis

plotGMM — 0.2.2

Tools for Visualizing Gaussian Mixture Models

plothelper — 0.1.9

New Plots Based on 'ggplot2' and Functions to Create Regular Shapes

plotHMM — 2023.8.28

Plot Hidden Markov Models

plotluck — 1.1.1

'ggplot2' Version of "I'm Feeling Lucky!"

plotly — 4.10.4

Create Interactive Web Graphics via 'plotly.js'

plotlyGeoAssets — 0.0.2

Render 'Plotly' Maps without an Internet Connection

plotMCMC — 2.0.1

MCMC Diagnostic Plots

plotMElm — 0.1.5

Plot Marginal Effects from Linear Models

plotmm — 0.1.1

Tidy Tools for Visualizing Mixture Models

plotmo — 3.6.4

Plot a Model's Residuals, Response, and Partial Dependence Plots

plotor — 0.5.1

Produces an Odds Ratio Plot from a Logistic Regression Model

plotpc — 1.0.4

Plot Principal Component Histograms Around a Scatter Plot

PlotPrjNetworks — 1.0.0

Useful Networking Tools for Project Management

plotprotein — 1.0

Development of Visualization Tools for Protein Sequence

plotrix — 3.8-4

Various Plotting Functions

plotROC — 2.3.1

Generate Useful ROC Curve Charts for Print and Interactive Use

plotscale — 0.1.6

Scale Graphics Devices Using Plot Dimensions

plotSEMM — 2.4

Graphing Nonlinear Relations Among Latent Variables from Structural Equation Mixture Models

PlotTools — 0.3.1

Add Continuous Legends to Plots

plotwidgets — 0.5.1

Spider Plots, ROC Curves, Pie Charts and More for Use in Other Plots

plpoisson — 0.3.0

Prediction Limits for Poisson Distribution

PLreg — 0.4.1

Power Logit Regression for Modeling Bounded Data

PLRModels — 1.4

Statistical Inference in Partial Linear Regression Models

pls — 2.8-5

Partial Least Squares and Principal Component Regression

plsdepot — 0.2.0

Partial Least Squares (PLS) Data Analysis Methods

plsdof — 0.3-2

Degrees of Freedom and Statistical Inference for Partial Least Squares Regression

plsgenomics — 1.5-3

PLS Analyses for Genomics

PLSiMCpp — 1.0.4

Methods for Partial Linear Single Index Model

plsmmLasso — 1.1.0

Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model

plsmod — 1.0.0

Model Wrappers for Projection Methods

plsmselect — 0.2.0

Linear and Smooth Predictor Modelling with Penalisation and Variable Selection

plspm — 0.5.1

Partial Least Squares Path Modeling (PLS-PM)

plsRbeta — 0.3.0

Partial Least Squares Regression for Beta Regression Models

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